Last edited by Duktilar
Sunday, August 9, 2020 | History

2 edition of Temporal and spatial distributions of Arctic sea ice thickness and pressure ridging statistics found in the catalog.

Temporal and spatial distributions of Arctic sea ice thickness and pressure ridging statistics

Robert P. Garrett

Temporal and spatial distributions of Arctic sea ice thickness and pressure ridging statistics

by Robert P. Garrett

  • 31 Want to read
  • 5 Currently reading

Published .
Written in English

    Subjects:
  • Sea ice -- Arctic regions.

  • Edition Notes

    Statementby Robert P. Garrett.
    The Physical Object
    Pagination161 p. :
    Number of Pages161
    ID Numbers
    Open LibraryOL15083868M

    The decrease of Arctic sea ice volume is investigated using a dynamic‐thermodynamic sea ice model. The model was forced with NCEP/NCAR reanalysis winds and surface air temperatures in a hindcast simulation of the period – Following the summer melt period, according to the US National Snow and Ice Data Centre (NSIDC) on 10 September the Arctic sea ice covered million square kilometres, tied with as the second lowest in the satellite ements of ice extent or area however only give a two-dimensional view of the Arctic, whereas volume.

    Sea Ice Anomaly Tool. Select two dates to compare. Daily Monthly Average. Arctic Antarctic. National Snow and Ice Data Center, University of Colorado Boulder. The basis of the classification algorithm, which is developed using a late wintertime Bering Sea ice cover data, is that frequency distributions of ‐μm radiances provide four distinct peaks, representing open water, new ice, young ice, and thick ice with a snow cover. The results are found to be spatially and temporally by:

    References Bauch, D., et al. (), Changes in distribution of brine waters on the Laptev Sea shelf in Journal of Geophysical Research , C Bauch, D., P. Schlosser, and R. Fairbanks (), Freshwater balance and the source of deep and bottom waters in the Arctic Ocean inferred from the. changes in the Arctic sea ice thickness distribution. 2 Data and analysis The US Navy and Royal Navy upward-looking sonar data set includes sea ice draft measurements from 37 cruises accomplished during the years –, covering over km of track in total. Data are archived for public use at the US National Snow and Ice Data Center.


Share this book
You might also like
Web Services

Web Services

Student Audio Cassette Program (Part A) to accompany Pasajes

Student Audio Cassette Program (Part A) to accompany Pasajes

Haiti, one hundred forty mini-schools

Haiti, one hundred forty mini-schools

The Dutch Doll

The Dutch Doll

Henry von Ofterdingen

Henry von Ofterdingen

Report by the Supreme Allied Commander, Mediterranean, to the Combined Chiefs of Staff on Greece, 12th December 1944 to 9th May 1945.

Report by the Supreme Allied Commander, Mediterranean, to the Combined Chiefs of Staff on Greece, 12th December 1944 to 9th May 1945.

Cheyenne Drums

Cheyenne Drums

Barbara Cartlands Book of love and lovers.

Barbara Cartlands Book of love and lovers.

Evidence of the accused.

Evidence of the accused.

Our French-Canadian lineage LaLonde

Our French-Canadian lineage LaLonde

Government gazette =

Government gazette =

Nutcracker and mouse-king

Nutcracker and mouse-king

Castle tocastle

Castle tocastle

Library services for the blind and physically handicapped

Library services for the blind and physically handicapped

Temporal and spatial distributions of Arctic sea ice thickness and pressure ridging statistics by Robert P. Garrett Download PDF EPUB FB2

"This growth process yields first-year ice, which in a single season in the Arctic reaches a thickness of m." m: Garratt, R.P. & Bourke, R.H. Temporal and Spatial Distributions of Arctic Sea Ice Thickness and Pressure Ridging Statistics. Defense Technical Information Center.

edge of arctic sea-ice thickness. At first scientists used these data to characterize ice topography (pressure ridge statistics and the ice thickness distribution) and to characterize variability. By the s enough data had accumulated to allow the spatial field of draft to be estimated, but it wasCited by: Spatial and temporal multiyear sea ice distributions in the Arctic: A neural network analysis of SSM/I data, Article in Journal of Geophysical Research Atmospheres (10) October.

(a–f) Comparisons in sea ice thickness from APP-x, PIOMAS, and SMOS in terms of CryoSat-2 sea ice thickness for the Winter period (MAR), – The spatial distribution of ice thickness/draft in the Arctic Ocean is examined using a sea ice model. A comparison of model predictions with submarine observations of sea ice draft made during cru Cited by:   This study evaluates the spatial and temporal variability in Arctic sea ice thickness using the Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS).

Additionally, the Community Earth System Model Large Ensemble Project (LENS) is used to quantify the forced response and internal variability in the by: Cold Regions Science and Technology., 13 () Elsevier Science Publishers B.V., Amsterdam -- Printed in the Netherlands SEA ICE THICKNESS DISTRIBUTION IN THE ARCTIC OCEAN Robert H.

Bourke and Robert P. Garret't* Nava/ Postgraduate Schoo/, Monterey, CA (U.S.A.) (Received May 8, ; accepted in revised form J ) ABSTRACT Data from the Cited by: 29 observational knowledge of arctic sea-ice thickness.

At first scientists used these data to 30 characterize ice topography (pressure ridge statistics and the ice thickness distribution) and to 31 characterize variability. By the s enough data had accumulated to allow the spatial field of.

seen in Arctic sea ice as ice extent and volume have markedly decreased. While ice extent is reasonably well observed by satellites, observations of ice thickness have been, until re-cently, sparse. Sea ice model reanalyses (e.g., Schweiger at al., ) provide useful estimates of thickness and volume.

Satellite records show the minimum Arctic sea ice extents (SIEs) were observed in the Septembers of andbut the spatial distributions of sea ice concentration reduction in these two years were quite different. Atmospheric circulation pattern and the upper-ocean state in summer were investigated to explain the difference.

By employing the ice-temperature and ice-specific humidity (SH Cited by: 1. Satellite remote sensing of sea-ice thickness and kinematics: a review R. KWOK there is progress in the retrievals of Arctic sea-ice thickness from satellite altimetry, approaches to heat and energy budget over a wide range of temporal and spatial scales.

Accurate quantification and simulation of the. Sea ice thickness retrieval from SMOS brightness temperatures during the Arctic freeze-up period L.

Kaleschke,1 X. Tian-Kunze,1 N. Maaß,1 M. Mäkynen,2 and M. Drusch3 Received 10 January ; revised 6 February ; accepted 12 February ; published 8 March Sea ice is an important component and indicator of change in the global climate system. While the extent of the Arctic and Antarctic sea ice covers has been measured for some time, sea ice thickness values are needed to obtain the mass balance which will offer a much more complete assessment of the state of the global sea ice by: The drifters were deployed in an array designed to resolve four, nested spatial scales of sea-ice deformation, from 10 to km, with the arrays maintaining appropriate shape for strain-rate calculation until mid-June.

In this paper, we test whether sea-ice deformation displays fractal. Spatial and temporal characterization of sea-ice deformation Jennifer K. HUTCHINGS,1 Andrew ROBERTS,1 Cathleen A.

GEIGER,2 Jacqueline RICHTER-MENGE3 1International Arctic Research Center, University of Alaska Fairbanks, Koyukuk Drive, Fairbanks, AKUSA E-mail: [email protected] 2Department of Geography, University of Delaware, Newark, DEUSA. New SPICES sea-ice products include pancake ice thickness and degree of ice ridging based on synthetic aperture radar imagery, Arctic sea-ice volume and export derived from multisensor satellite data, and melt pond fraction and sea-ice concentration.

Evaluation of Arctic sea ice thickness simulated by Arctic Ocean Model Intercomparison Project models MarkJohnson,1 AndreyProshutinsky,2 YevgenyAksenov,3 ,4 RonLindsay,5 Christian Haas,6 Jinlun Zhang,5 Nikolay Diansky,7 Ron Kwok,8 Wieslaw Maslowski,9 Sirpa Häkkinen,10 Igor Ashik,11 and Beverly de Cuevas3 Received 4 May ; revised 26 October ; accepted 17 January File Size: 3MB.

DMI Modelled ice thickness. InArctic sea ice was also about two meters thick. 23 Feb – THE NORTH POLE. Inthe New York Times reported that Arctic ice was about two meters thick, and that people carry a popular misconception that the ice is much thicker than it is.

They also predicted an ice-free Arctic within one generation. Investigation of Arctic and Antarctic spatial and depth patterns of sea water in CTD profiles using chemometric data analysis Ewelina Kotwa a,*, Silvia Lacorte b, Carlos Duarte c, Roma Tauler b a Department of Informatics and Mathematical Modelling, Technical University of Denmark, BuildingAsmussens Alle, DK Lyngby, Denmark.

Anderson, Mark R. and Drobot, Sheldon D., "Spatial and Temporal Variability in Snowmelt Onset over Arctic Sea Ice" (). Papers in the Earth and Atmospheric Sciences.

Spatial scaling of Arctic sea ice deformation H. L. Stern1 and R. W. Lindsay1 Received 12 March ; revised 17 July ; accepted 4 August ; published 21 October [1] Arctic sea ice deformation arises from spatial gradients in the ice velocity field. This deformation occurs across a wide range of spatial scales, from meters to thousands.The spatial and spectral position of this end member directly adjacent to the nonseasonal ice reveals an interesting characteristic of the Arctic sea ice cover: regions of only partial clearing of ice during the Arctic summer are rare; that is, the need for an end-member definition spectrally halfway between nonseasonal ice and the first Cited by: OBSERVATIONS IN THE ARCTIC RAJMUND PRZYBYLAK* Department of Climatology, Nicholas Copernicus Uni6ersity, Torun´, Poland Recei6ed 14January Re6ised 7July Accepted 8July ABSTRACT A detailed analysis of the spatial and temporal changes in mean seasonal and annual surface air temperatures over.